气象与环境学报Issue(6)：102-109,8.DOI:10.3969/j.issn.1673-503X.2013.06.016
内蒙古自治区太阳总辐射的气候学计算及其时空分布特征
The climatological calculation of global solar radiation and its temporal and spatial distribution in Inner Mongolia Autonomous Region
摘要
Abstract
By analyzing and comparing climatological calculation methods of global solar radiation at home and a-broad,an optimal calculation formula was identified and then used in Inner Mongolia.In accordance with monthly global solar radiation and percentage of sunshine at 24 solar radiation observation stations in Inner Mongolia and its surrounding areas,experiential coefficients in the formula were fitted in terms of least square method.An interpola-tion method of IDW was then used to extend these coefficients to 108 weather stations.Finally,a global solar radia-tion calculation model was established for Inner Mongolia.The calculating results from this model show that the annual global solar radiation is in a decreasing trend from 1978 to 2010,while it is not significant and the decrea-sing rates in different regions differ obviously.The highest value of global solar radiation occurs in May,then fol-lows in June and July,and the lowest value is in December.The monthly variation presents a single peak.The spa-tial distributions of monthly global solar radiation are consistent with that of annual global solar radiation,and both increase gradually from northeast to southwest of Inner Mongolia.The annual global solar radiation ranges from 4633 MJ·m -2 to 6616 MJ·m -2 .The grade of solar energy resources in Inner Mongolia is abundance grade or a-bove it.The grades of solar energy resources fall in categories of the best abundance grade and better abundance grade in most areas of Inner Mongolia,so it has great potential for development and utilization of solar energy re-sources.关键词
太阳总辐射/气候学计算/最小二乘法Key words
Global solar radiation/Climatological calculation/Least square method分类
天文与地球科学引用本文复制引用
马玉峰,李喜仓,宋进华,高春香,赵东,申彦波..内蒙古自治区太阳总辐射的气候学计算及其时空分布特征[J].气象与环境学报,2013,(6):102-109,8.基金项目
中国气象局业务试点项目“太阳能资源评估业务系统”资助。 （）
